Bradley Boehmke Data Wrangling with R 9783319455983

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Автор: Bradley Boehmke
Название: Data Wrangling with R
ISBN: 9783319455983
Издательство: Springer
Классификация:

Вероятность и статистика

Математическое и статистическое ПО

Информационный поиск

ISBN-10: 3319455982
Обложка/Формат: Paperback
Страницы: 238
Вес: 0.39 кг.
Дата издания: 2016
Серия: Statistics
Язык: English
Иллюстрации: 14 black & white illustrations, 10 colour illustrations, 5 colour tables, biography
Размер: 159 x 240 x 16
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques.This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The authors goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and datesThe difference between different data structures and how to create, add additional components to, and subset each data structureHow to acquire and parse data from locations previously inaccessibleHow to develop functions and use loop control structures to reduce code redundancyHow to use pipe operators to simplify code and make it more readableHow to reshape the layout of data and manipulate, summarize, and join data sets

Дополнительное описание: Preface.- Introduction .- Working with Different Types of Data in R.- Managing Data Structures in R.- Importing, Scraping, and Exporting Data with R.- Creating Efficient & Readable Code in R.- Shaping & Transforming Your Data with R.

Data Wrangling with R, Bradley Boehmke